In this paper, we propose a new supervised linear dimensionality reduction method called discriminant projection embedding (DPE).
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A new subspace learning algorithm called locality preserving discriminant projections (LPDP) is proposed by adding the criterion of maximum margin criterion ...
A new subspace learning algorithm called locality preserving discriminant projections (LPDP) is proposed by adding the criterion of maximum margin criterion ...
In this paper, we propose a new supervised linear dimensionality reduction method called discriminant projection embedding (DPE).
A novel feature extraction algorithm for face recognition called UDGE, which incorporates graph embedding and local scaling method and obtains uncorrelated ...
In this paper, a supervised dimensional reduction algorithm called orthogonal locally discriminant projection (OLDP) is proposed, which can effectively extract ...
Kernel Supervised Discriminant Projection and its Application for Face Recognition · Computer Science. Int. J. Pattern Recognit. Artif. Intell. · 2013.
Jun 24, 2013 · In this paper, we propose a novel feature for palmprint recognition, called Discriminant Orientation Feature (DORIF) based on using Modified ...
Feb 20, 2014 · We develop a novel maximum neighborhood margin discriminant projection (MNMDP) technique for dimensionality reduction of high-dimensional ...
Linear Discriminant Analysis is optimal under the assumption that the covariance matrices of the conditional densities are normal and all identical.